NIPS Proceedingsβ

Nicolas Usunier

12 Papers

  • A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning (2019)
  • Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger (2018)
  • SING: Symbol-to-Instrument Neural Generator (2018)
  • Fader Networks:Manipulating Images by Sliding Attributes (2017)
  • Optimizing F-Measures by Cost-Sensitive Classification (2014)
  • Robust Bloom Filters for Large MultiLabel Classification Tasks (2013)
  • Translating Embeddings for Modeling Multi-relational Data (2013)
  • On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking (2012)
  • Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization (2009)
  • A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning (2008)
  • PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier (2006)
  • Generalization error bounds for classifiers trained with interdependent data (2005)